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Overview
This specialized course offers a comprehensive understanding of electric vehicle (EV) powertrain modeling and simulation techniques. Participants will learn to develop and analyze quasi-static models, transmission models, and dynamic models using industry-standard simulation tools. The course emphasizes practical application, focusing on evaluating EV powertrain performance, optimizing design parameters, and conducting in-depth simulations for effective decision-making.
Objectives
By the end of this course, leaner will be able to:
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Understand the components and configurations of EV powertrains.
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Develop quasi-static models for performance analysis.
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Model various types of EV transmissions.
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Create dynamic models to study transient behavior.
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Analyze and optimize powertrain performance using simulation tools.
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Evaluate the impact of different design parameters on EV range and efficiency.
Prerequisites
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Control System Fundamentals
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Automotive Systems Knowledge
Course Outline
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Overview of EV powertrain components: battery, motor, power electronics, transmission
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Understanding different EV powertrain configurations: single-motor, multi-motor, in-wheel motors
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Key performance metrics: efficiency, range, acceleration, and top speed
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Introduction to simulation tools for powertrain modeling
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Quasi-static modeling approach for EV powertrains
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Battery performance modeling: voltage, current, and SOC (State of Charge)
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Electric motor characteristics: torque-speed curves and efficiency maps
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Transmission system modeling: gear ratios and efficiency
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Vehicle dynamics modeling: rolling resistance, aerodynamic drag, and inertia
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Practical exercises: Develop and analyze quasi-static models using simulation tools
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Single-speed and multi-speed transmission models for EVs
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Modeling gear-shifting mechanisms and analyzing efficiency
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Understanding planetary gear sets and CVTs (Continuously Variable Transmissions)
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Practical exercises: Evaluate the impact of various transmission models on powertrain performance
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Dynamic modeling of key EV components:
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Battery dynamics: internal resistance and electrochemical processes
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Motor dynamics: electrical and mechanical transients
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Inverter dynamics: control loops and switching behavior
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Powertrain control systems modeling: torque and speed control
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Vehicle dynamics modeling: longitudinal and lateral dynamics
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Practical exercises: Develop dynamic powertrain models and simulate transient behavior
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Perform simulations using standard driving cycles (e.g., WLTP, NEDC)
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Analyze energy consumption, efficiency, and range under various conditions
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Optimize design parameters for better performance
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Conduct sensitivity analysis and parameter studies
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Practical exercises: Simulate real-world scenarios and evaluate EV powertrain performance
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Thermal modeling of EV components for heat management
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Simulation of Battery Thermal Management Systems (BTMS)
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Introduction to advanced control optimization using Model Predictive Control (MPC)
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Practical exercises: Implement and analyze advanced simulation techniques
